Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A search method comprising: storing, on at least one search server computer, search results from previous searches for travel reservations on a plurality of future dates, the search results provided by a plurality of supplier servers; predicting, using at least one search server computer, current pricing information for a travel reservation on at least one future date based on the stored search results from the previous searches; and transmitting to a user computer for presentation, at a time subsequent to the previous searches, the predicted current pricing information for the travel reservation on the at least one future date; and wherein the stored search results of the at least one future date used to determine the current pricing information for the at least one future date are search results provided by the plurality of supplier servers within a set time period.
A travel search system stores previous travel reservation search results (flights, hotels, rental cars) from various suppliers (e.g., airlines, hotel chains) on a server. These stored results cover many future dates. The system then predicts current pricing for a travel reservation on a specific future date using these stored search results from supplier servers within a set time period. This predicted price is then sent to a user's computer and displayed, even though the prediction happens after the original searches were performed.
2. The search method of claim 1 , wherein the current pricing information is a lowest rate from the stored search results of the at least one future date.
The travel search system predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is the *lowest rate* found in the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period.
3. The search method of claim 1 , wherein the current pricing information is a price range determined based on the stored search results of the at least one future date.
The travel search system predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is a *price range* determined from the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period.
4. The search method of claim 1 , wherein the current pricing information is an average price determined based on the stored search results of the at least one future date.
The travel search system predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is an *average price* calculated from the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period.
5. The search method of claim 1 , wherein the current pricing information is determined periodically.
The travel search system predicts travel reservation pricing by storing previous search results. The system determines and updates the predicted current pricing information *periodically* (e.g., every hour, every day) using the stored search results. This prediction is based on stored results from supplier servers within a set time period.
6. The search method of claim 1 , wherein the travel reservation is for a lodging reservation with a lodging entity.
The travel search system predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically a *lodging reservation* (e.g., a hotel room) with a lodging entity. This prediction is based on stored results from supplier servers within a set time period.
7. The search method of claim 1 , wherein the travel reservation is for an airline reservation with one or more airline carriers.
The travel search system predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically an *airline reservation* with one or more airline carriers. This prediction is based on stored results from supplier servers within a set time period.
8. The search method of claim 1 , wherein the travel reservation is for a ground transportation reservation with a ground transportation entity.
The travel search system predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically a *ground transportation reservation* (e.g., a rental car) with a ground transportation entity. This prediction is based on stored results from supplier servers within a set time period.
9. At least one search server comprising: at least one storage device for storing search results from previous searches for travel reservations on a plurality of future dates, the search results provided by a plurality of supplier servers; and at least one processor configured to perform operations comprising: predicting, for a travel reservation on at least one future date, current pricing information for the travel reservation based on the stored search results from the previous searches; and transmitting to a user computer for presentation, at a time subsequent to the previous searches, the determined current pricing information for the travel reservation on the at least one future date; and wherein the stored search results of the at least one future date used to determine the current pricing information for the at least one future date are search results provided by the plurality of supplier servers within a set time period.
A travel search server includes a storage device and a processor. The storage device stores previous travel reservation search results (flights, hotels, rental cars) from various suppliers (e.g., airlines, hotel chains). These stored results cover many future dates. The processor predicts current pricing for a travel reservation on a specific future date using these stored search results from supplier servers within a set time period. This predicted price is then sent to a user's computer and displayed, even though the prediction happens after the original searches were performed.
10. The at least one server of claim 9 , wherein the current pricing information is a lowest rate from the stored search results of the at least one future date.
A travel search server predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is the *lowest rate* found in the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period. This server includes a storage device and a processor.
11. The at least one server of claim 9 , wherein the current pricing information is a price range determined based on the stored search results of the at least one future date.
A travel search server predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is a *price range* determined from the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period. This server includes a storage device and a processor.
12. The at least one server of claim 9 , wherein the current pricing information is an average price determined based on the stored search results of the at least one future date.
A travel search server predicts travel reservation pricing by storing previous search results. Specifically, the current pricing information presented to the user, based on those stored results, is an *average price* calculated from the stored search results for that future travel date. The stored results are provided by multiple supplier servers within a set time period. This server includes a storage device and a processor.
13. The at least one server of claim 9 , wherein the current pricing information is determined periodically.
A travel search server predicts travel reservation pricing by storing previous search results. The system determines and updates the predicted current pricing information *periodically* (e.g., every hour, every day) using the stored search results. This prediction is based on stored results from supplier servers within a set time period. This server includes a storage device and a processor.
14. The at least one server of claim 9 , wherein the travel reservation is for a lodging reservation with a lodging entity.
A travel search server predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically a *lodging reservation* (e.g., a hotel room) with a lodging entity. This prediction is based on stored results from supplier servers within a set time period. This server includes a storage device and a processor.
15. The at least one server of claim 9 , wherein the travel reservation is for an airline reservation with one or more airline carriers.
A travel search server predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically an *airline reservation* with one or more airline carriers. This prediction is based on stored results from supplier servers within a set time period. This server includes a storage device and a processor.
16. The at least one server of claim 9 , wherein the travel reservation is for a ground transportation reservation with a ground transportation entity.
A travel search server predicts travel reservation pricing by storing previous search results. The "travel reservation" that the system is predicting prices for is specifically a *ground transportation reservation* (e.g., a rental car) with a ground transportation entity. This prediction is based on stored results from supplier servers within a set time period. This server includes a storage device and a processor.
Unknown
November 25, 2014
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.